%0 Journal Article
%T Data-driven Operational-pattern Optimization for Copper Flash Smelting Process<br>基于数据驱动的铜闪速熔炼过程操作模式优化及应用
%A GUI Wei-Hua YANG Chun-Hua LI Yong-Gang HE Jian-Jun YIN Lin-Zi School of Information Science
%A Engineering
%A Central South University
%A Changsha
%A <br>桂卫华
%A 阳春华
%A 李勇刚
%A 贺建军
%A 尹林子
%J 自动化学报
%D 2009
%I 
%X Considering the difficulties of modeling,online-measurement of technical indexes, and optimal control incopper flash smelting process, a data-driven operational-patternoptimization method is presented. Firstly, the copper flash smeltingprocess is analyzed, basic concepts about data-drivenoperational-pattern are defined and the frame of data-drivenoperational pattern optimization is proposed. Secondly, thedata-driven prediction models of matte temperature, matter grade andratio of Fe to SiO2 are established, the overall evaluation modelof flash smelter is proposed and operational-pattern optimizationfor copper flash smelting process is described. Thirdly, anoptimized operational-pattern base is constructed based on lots ofindustrial running data and the overall evaluation model. Then, amatching algorithm combining fuzzy C-means cluster with chaos pseudoparallel genetic algorithm is proposed to mine an optimaloperational pattern from the optimized operational-pattern base toimplement the optimal control of the smelting process. The practicalrunning results in copper flash smelting process show itseffectiveness.
%K Data-driven
%K copper flash smelting
%K operational-pattern
%K operational-pattern optimization<br>数据驱动
%K 铜闪速熔炼
%K 操作模式
%K 操作模式优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=F5461816F8EEA6743EB49A50118E1D66&yid=DE12191FBD62783C&vid=6209D9E8050195F5&iid=B31275AF3241DB2D&sid=E5ED9059DE792E50&eid=94655B9881133A28&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=0